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Records with Subject: Information Management
Showing records 1 to 25 of 28. [First] Page: 1 2 Last
Standardizing Innovation Management: An Opportunity for SMEs in the Aerospace Industry
Alberto Cerezo-Narváez, Daniel García-Jurado, María Carmen González-Cruz, Andrés Pastor-Fernández, Manuel Otero-Mateo, Pablo Ballesteros-Pérez
July 31, 2019 (v1)
Keywords: aerospace industry, development and innovation (R+D+i), industrial processes, Industry 4.0, innovation, management system, metrology, research, small and medium-sized enterprises (SMEs)
In a globalized marketplace, the competition in the aerospace industry has increased significantly. Producers can choose between many suppliers. These suppliers have to comply with more requirements and technical specifications, as well as take on greater responsibilities that originally fell on producers. In this context, business opportunities for small and medium-sized enterprises (SMEs) are limited, but still suppliers must try to leverage the maximum strategic advantage of the few that present. Adopting research, development and innovation (R+D+i) practices has proven to bring great benefits to companies and allows them to gain significant competitive advantages. However, the process of designing, implementing and testing R+D+i-related processes is not straightforward, nor it has been addressed in the recent research on SMEs. In this paper, a case study of a Spanish innovative small company providing industrial metrology and quality services is analyzed. Thanks to an internal deci... [more]
Cross-Sectorial Semantic Model for Support of Data Analytics in Process Industries
Martin Sarnovsky, Peter Bednar, Miroslav Smatana
July 30, 2019 (v1)
Keywords: data analytics, process industry, semantic annotation, semantic model
The process industries rely on various software systems and use a wide range of technologies. Predictive modeling techniques are often applied to data obtained from these systems to build the predictive functions used to optimize the production processes. Therefore, there is a need to provide a proper representation of knowledge and data and to improve the communication between the data scientists who develop the predictive functions and domain experts who possess the expert knowledge of the domain. This can be achieved by developing a semantic model that focuses on cross-sectorial aspects rather than concepts for specific industries, and that specifies the meta-classes for the formal description of these specific concepts. This model should cover the most important areas including modeling the production processes, data analysis methods, and evaluation using the performance indicators. In this paper, our primary objective was to introduce the specifications of the Cross-sectorial doma... [more]
Multiscale and Multi-Granularity Process Analytics: A Review
Marco S. Reis
May 16, 2019 (v1)
Keywords: data aggregation, industrial big data, multi-granularity methods, multiscale methods
As Industry 4.0 makes its course into the Chemical Processing Industry (CPI), new challenges emerge that require an adaptation of the Process Analytics toolkit. In particular, two recurring classes of problems arise, motivated by the growing complexity of systems on one hand, and increasing data throughput (i.e., the product of two well-known “V’s„ from Big Data: Volume × Velocity) on the other. More specifically, as enabling IT technologies (IoT, smart sensors, etc.) enlarge the focus of analysis from the unit level to the entire plant or even to the supply chain level, the existence of relevant dynamics at multiple scales becomes a common pattern; therefore, multiscale methods are called for and must be applied in order to avoid biased analysis towards a certain scale, compromising the benefits from the balanced exploitation of the information content at all scales. Also, these same enabling technologies currently collect large volumes of data at high-sampling rates, creating a flood... [more]
Analysis of the Primary Constraint Conditions of an Efficient Photovoltaic-Thermoelectric Hybrid System
Guiqiang Li, Xiao Chen, Yi Jin
March 15, 2019 (v1)
Keywords: cold side temperature, electrical efficiency, geometric size, PV-TEG
Electrical efficiency can be increased by combining photovoltaic (PV) and the thermoelectric (TE) systems. However, a simple and cursory combination is unsuitable because the negative impact of temperature on PV may be greater than its positive impact on TE. This study analyzed the primary constraint conditions based on the hybrid system model consisting of a PV and a TE generator (TEG), which includes TE material with temperature-dependent properties. The influences of the geometric size, solar irradiation and cold side temperature on the hybrid system performance is discussed based on the simulation. Furthermore, the effective range of parameters is demonstrated using the image area method, and the change trend of the area with different parameters illustrates the constraint conditions of an efficient PV-TE hybrid system. These results provide a benchmark for efficient PV-TEG design.
A Novel Algorithm for Efficient Downlink Packet Scheduling for Multiple-Component-Carrier Cellular Systems
Yao-Liang Chung
February 5, 2019 (v1)
Keywords: 4G/5G cellular systems, efficiency, multiple component carriers, proportional fair
The simultaneous aggregation of multiple component carriers (CCs) for use by a base station constitutes one of the more promising strategies for providing substantially enhanced bandwidths for packet transmissions in 4th and 5th generation cellular systems. To the best of our knowledge, however, few previous studies have undertaken a thorough investigation of various performance aspects of the use of a simple yet effective packet scheduling algorithm in which multiple CCs are aggregated for transmission in such systems. Consequently, the present study presents an efficient packet scheduling algorithm designed on the basis of the proportional fair criterion for use in multiple-CC systems for downlink transmission. The proposed algorithm includes a focus on providing simultaneous transmission support for both real-time (RT) and non-RT traffic. This algorithm can, when applied with sufficiently efficient designs, provide adequate utilization of spectrum resources for the purposes of trans... [more]
Auto-Mapping and Configuration Method of IEC 61850 Information Model Based on OPC UA
In-Jae Shin, Byung-Kwen Song, Doo-Seop Eom
January 31, 2019 (v1)
Keywords: abstract communication service interface (ACSI), IEC 61850, open-platform communication (OPC) unified architecture (UA), smart grid, system configuration description language (SCL)
The open-platform communication (OPC) unified architecture (UA) (IEC62541) is introduced as a key technology for realizing a variety of smart grid (SG) use cases enabling relevant automation and control tasks. The OPC UA can expand interoperability between power systems. The top-level SG management platform needs independent middleware to transparently manage the power information technology (IT) systems, including the IEC 61850. To expand interoperability between the power system for a large number of stakeholders and various standards, this paper focuses on the IEC 61850 for the digital substation. In this paper, we propose the interconnection method to integrate communication with OPC UA and convert OPC UA AddressSpace using system configuration description language (SCL) of IEC 61850. We implemented the mapping process for the verification of the interconnection method. The interconnection method in this paper can expand interoperability between power systems for OPC UA integration... [more]
Communication Channel Reconstruction for Transmission Line Differential Protection: System Arrangement and Routing Protocol
Xu Chen, Xianggen Yin, Bin Yu, Zhe Zhang
January 31, 2019 (v1)
Keywords: communication channel, differential protection, routing protocol, wireless sensor network (WSN)
Natural disasters may be of significant impact on overhead transmission lines and cause communication outage related to pilot protection. This paper aims at reconstructing communication channels and maintaining functions of pilot-wire differential protections after the main channel fails. With the development of smart grids as well as new communication technologies, wireless sensor networks (WSNs) have been potential means for realizing reconstructed communication channels (RCCs) without further installation. For a reliable design, system arrangement and the communication structure were presented. Theoretical planning of sensor nodes was formulated, which enjoys advantages such as high reliability, cost optimization, and capacity of satisfying the connectivity of the communication network. To meet the need of time delay, a novel routing protocol for WSNs was proposed with three stages including route establishment, route discovery and route maintenance, which ensured the directional pr... [more]
Smart Monitoring Embedded Service for Energy-Efficient and Sustainable Management in Data Centers
Diego Marcos-Jorquera, Virgilio Gilart-Iglesias, Francisco José Mora-Gimeno, Juan Antonio Gil-Martínez-Abarca
January 7, 2019 (v1)
Keywords: embedded systems, energy-efficient networks, monitoring energy-consumption, service oriented architecture, sustainable network
Information technologies (IT) currently represent 2% of CO₂ emissions. In recent years, a wide variety of IT solutions have been proposed, focused on increasing the energy efficiency of network data centers. Monitoring is one of the fundamental pillars of these systems, providing the information necessary for adequate decision making. However, today’s monitoring systems (MSs) are partial, specific and highly coupled solutions. This study proposes a model for monitoring data centers that serves as a basis for energy saving systems, offered as a value-added service embedded in a device with low cost and power consumption. The proposal is general in nature, comprehensive, scalable and focused on heterogeneous environments, and it allows quick adaptation to the needs of changing and dynamic environments. Further, a prototype of the system has been implemented in several devices, which has allowed validation of the proposal in addition to identification of the minimum hardware profile requi... [more]
Lifetime-Aware Cloud Data Centers: Models and Performance Evaluation
Luca Chiaraviglio, Antonio Cianfrani, Marco Listanti, William Liu, Marco Polverini
November 28, 2018 (v1)
Keywords: data-centers (DCs), energy and lifetime trade-off, failure models, server lifetime models
We present a model to evaluate the server lifetime in cloud data centers (DCs). In particular, when the server power level is decreased, the failure rate tends to be reduced as a consequence of the limited number of components powered on. However, the variation between the different power states triggers a failure rate increase. We therefore consider these two effects in a server lifetime model, subject to an energy-aware management policy. We then evaluate our model in a realistic case study. Our results show that the impact on the server lifetime is far from negligible. As a consequence, we argue that a lifetime-aware approach should be pursued to decide how and when to apply a power state change to a server.
Managing Climate Policy Information Facilitating Knowledge Transfer to Policy Makers
Charikleia Karakosta, Alexandros Flamos
November 28, 2018 (v1)
Keywords: architectural knowledge retrieval, climate change, international and European climate policy, knowledge transfer, ontology, resource description framework
In the challenging context of intense negotiations and radical developments in the field of climate policy, informing stakeholders about opportunities and pathways and about scientific insights and warnings is important to help create positive dynamics. Policy makers need digestible information to design good policies, and understand their options and the possible impacts of these options. They need access to well-structured knowledge, as well as appropriate techniques to manage information and data. However, available information is often difficult to access, not in the right format and of limited use to stakeholders. The range of knowledge needs identified has to be effectively addressed by providing interested parties with suitable, to-the-point information, covering the identified gaps. This is the main aim of this article that proposes the design and development of a climate policy database, which contains all the resources that can cover the identified knowledge gaps. The resourc... [more]
Data Distribution Service-Based Interoperability Framework for Smart Grid Testbed Infrastructure
Tarek A. Youssef, Ahmed T. Elsayed, Osama A. Mohammed
November 27, 2018 (v1)
Keywords: cyber physical systems, data distribution service (DDS), distributed control networks, interoperability, smart grid testbed
This paper presents the design and implementation of a communication and control infrastructure for smart grid operation. The proposed infrastructure enhances the reliability of the measurements and control network. The advantages of utilizing the data-centric over message-centric communication approach are discussed in the context of smart grid applications. The data distribution service (DDS) is used to implement a data-centric common data bus for the smart grid. This common data bus improves the communication reliability, enabling distributed control and smart load management. These enhancements are achieved by avoiding a single point of failure while enabling peer-to-peer communication and an automatic discovery feature for dynamic participating nodes. The infrastructure and ideas presented in this paper were implemented and tested on the smart grid testbed. A toolbox and application programing interface for the testbed infrastructure are developed in order to facilitate interopera... [more]
Analysis of the Channel Influence to Power Line Communications Based on ITU-T G.9904 (PRIME)
Asier Llano, Itziar Angulo, Pablo Angueira, Txetxu Arzuaga, David de la Vega
October 23, 2018 (v1)
Keywords: electromagnetic noise, ITU-T G.9904, power line communications, PRIME, smart grid, smart metering
ITU-T G.9904 standard, also known as PoweRline Intelligent Metering Evolution (PRIME), is a Power Line Communications standard for advanced metering, grid control and asset monitoring defined by the International Telecommunication Union (ITU). In this paper, an analysis about how different characteristics of the communication channel and types of noise might affect the system performance is carried out. This study is based on simulations of the PRIME physical layer using different channel characteristics and transmission parameters. The conclusions obtained are very valuable for better understanding the behavior of the ITU-T G.9904 (PRIME) standard in the field, allowing future improvements in deployment strategies and equipment design.
Developing a New HSR Switching Node (SwitchBox) for Improving Traffic Performance in HSR Networks
Nguyen Xuan Tien, Jong Myung Rhee
October 23, 2018 (v1)
Keywords: fault-tolerant Ethernet, high-availability seamless redundancy (HSR), HSR SwitchBox, industrial Ethernet, substation automation systems
High availability is crucial for industrial Ethernet networks as well as Ethernet-based control systems such as automation networks and substation automation systems (SAS). Since standard Ethernet does not support fault tolerance capability, the high availability of Ethernet networks can be increased by using redundancy protocols. Various redundancy protocols for Ethernet networks have been developed and standardized, such as rapid spanning tree protocol (RSTP), media redundancy protocol (MRP), parallel redundancy protocol (PRP), high-availability seamless redundancy (HSR) and others. RSTP and MRP have switchover delay drawbacks. PRP provides zero recovery time, but requires a duplicate network infrastructure. HSR operation is similar to PRP, but HSR uses a single network. However, the standard HSR protocol is mainly applied to ring-based topologies and generates excessively unnecessary redundant traffic in the network. In this paper, we develop a new switching node for the HSR protoco... [more]
A Power and Data Decoupled Transmission Method for Wireless Power Transfer Systems via a Shared Inductive Link
Xiaofei Li, Haichao Wang, Xin Dai
September 21, 2018 (v1)
Keywords: data transmission, hysteresis control, signal to noise ratio (SNR), wireless power transfer
Wireless Power Transfer (WPT) technology is gaining global popularity. However, in some applications, data transmission is also required to monitor the load states. This paper presents an alternative wireless power and data transmission method via the shared inductive link. With the method, the system presents three characteristics: (1) controllability and stability of the output voltage; (2) miniaturization in volume of the system; (3) decoupled transmission of power and data. The output voltage control is realized by a non-inductive hysteresis control method. In particular, data is transferred when the power transmission is blocked (i.e., the hysteresis switch is off). The interference between power and data transmission is very small. The signal to noise ratio (SNR) performance which is relevant to the interference from power transfer to data transfer and data transfer capacity, is studied and optimized. Both simulation and experimental results have verified the proposed method.
Exploiting Small World Problems in a SIoT Environment
Rehman Abdul, Anand Paul, Junaid Gul M., Won-Hwa Hong, Hyuncheol Seo
September 21, 2018 (v1)
Keywords: balanced tree, small world, Smart Social Agent (SSA), social internet of things (SIoT)
Internet of Things (IoT) has been at the center of attention among researchers for the last two decades. Their aim was to convert each real-world object into a virtual object. Recently, a new idea of integrating the Social Networking concept into the Internet of Things has merged and is gaining popularity and attention in the research society due to its vast and flexible nature. It comprises of the potential to provide a platform for innovative applications and network services with efficient and effective manners. In this paper, we provide the sustenance for the Social Internet of Things (SIoT) paradigm to jump to the next level. Currently, the SIoT technique has been proven to be efficient, but heterogeneous smart devices are growing exponentially. This can develop a problematic scenario while searching for the right objects or services from billions of devices. Small world phenomena have revealed some interesting facts and motivated many researchers to find the hidden links between... [more]
Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks
An Braeken, Pardeep Kumar, Andrew Martin
September 21, 2018 (v1)
Keywords: billing, data aggregation, privacy, security, smart grid, smart metering network
The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-... [more]
Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques
Wen-Hsien Tsai
September 21, 2018 (v1)
Keywords: activity-based costing (ABC), carbon emissions, green manufacturing, Industry 4.0, mathematical programming, textile industry
The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and fina... [more]
Productive Efficiency of Energy-Aware Data Centers
Damián Fernández-Cerero, Alejandro Fernández-Montes, Francisco Velasco
September 21, 2018 (v1)
Keywords: cloud computing, data envelopment analysis, efficiency, energy policies, return-to-scale
Information technologies must be made aware of the sustainability of cost reduction. Data centers may reach energy consumption levels comparable to many industrial facilities and small-sized towns. Therefore, innovative and transparent energy policies should be applied to improve energy consumption and deliver the best performance. This paper compares, analyzes and evaluates various energy efficiency policies, which shut down underutilized machines, on an extensive set of data-center environments. Data envelopment analysis (DEA) is then conducted for the detection of the best energy efficiency policy and data-center characterization for each case. This analysis evaluates energy consumption and performance indicators for natural DEA and constant returns to scale (CRS). We identify the best energy policies and scheduling strategies for high and low data-center demands and for medium-sized and large data-centers; moreover, this work enables data-center managers to detect inefficiencies an... [more]
Energy-Efficient Clusters for Object Tracking Networks
Yang-Hsin Fan
September 21, 2018 (v1)
Keywords: embedded system, energy saving, object tracking networks
Smart cities have hundreds of thousands of devices for tracking data on crime, the environment, and traffic (such as data collected at crossroads and on streets). This results in higher energy usage, as they are recording information persistently and simultaneously. Moreover, a single object tracking device, on a corner at an intersection for example has a limited scope of view, so more object tracking devices are added to broaden the view. As an increasing number of object tracking devices are constructed on streets, their efficient energy consumption becomes a significant issue. This work is concerned with decreasing the energy required to power these systems, and proposes energy-efficient clusters (EECs) of object tracking systems to achieve energy savings. First, we analyze a current object tracking system to establish an equivalent model. Second, we arrange the object tracking system in a cluster structure, which facilitates the evaluation of energy costs. Third, the energy consum... [more]
Stream Data Cleaning for Dynamic Line Rating Application
Hassan M. Nemati, A. Laso, M. Manana, Anita Sant'Anna, Sławomir Nowaczyk
September 21, 2018 (v1)
Keywords: data mining, dynamic line rating, smart grids, stream data cleaning
The maximum current that an overhead transmission line can continuously carry depends on external weather conditions, most commonly obtained from real-time streaming weather sensors. The accuracy of the sensor data is very important in order to avoid problems such as overheating. Furthermore, faulty sensor readings may cause operators to limit or even stop the energy production from renewable sources in radial networks. This paper presents a method for detecting and replacing sequences of consecutive faulty data originating from streaming weather sensors. The method is based on a combination of (a) a set of constraints obtained from derivatives in consecutive data, and (b) association rules that are automatically generated from historical data. In smart grids, a large amount of historical data from different weather stations are available but rarely used. In this work, we show that mining and analyzing this historical data provides valuable information that can be used for detecting an... [more]
An Exploratory Study on Knowledge Management Process Barriers in the Oil Industry
Sebastian Ion Ceptureanu, Eduard Gabriel Ceptureanu, Marieta Olaru, Doina I. Popescu
September 21, 2018 (v1)
Keywords: knowledge barriers, knowledge management, knowledge process, oil industry
This paper identify and discuss barriers affecting knowledge management (KM) processes in the oil industry. Based on reviewing the literature on this topic, we used a conceptual model comprising the most important barriers, grouped in three categories⁻organizational, knowledge and people related⁻influencing four critical KM processes⁻creation, storage, share and application. Using factor analysis, we identified which barriers influence the most each of the KM process and what are the practical implications for companies operating in the oil industry. This study provides useful insights regarding knowledge processes barriers, enabling top executives to better cope with factors hindering successful implementation of KM initiatives.
Design and Implementation of an Optimal Travel Route Recommender System on Big Data for Tourists in Jeju
Lei Hang, Sang-Hun Kang, Wenquan Jin, Do-Hyeun Kim
August 28, 2018 (v1)
Keywords: association rule mining, mobile, route optimization, travel planning, travel route recommendation
A recommender system is currently applied in many different domains, seeking to provide users with recommendation services according to their personalized preferences to relieve rising online information congestion. As the number of mobile phone users is large and growing, mobile tourist guides have attracted considerable research interest in recent years. In this paper, we propose an optimal travel route recommender system by analyzing the data history of previous users. The open dataset used covers the travel data from thousands of mobile tourists who visited Jeju in a full year. Our approach is not only personalized to users’ preferences but also able to recommend a travel route rather than individual POIs (Points of Interest). An association rule mining-based approach, which takes into account contextual information (date, season and places already visited by previous users), is used to produce travel routes from the large dataset. Furthermore, to ensure the reasonability of the re... [more]
An Adaptive Approach Based on Resource-Awareness Towards Power-Efficient Real-Time Periodic Task Modeling on Embedded IoT Devices
Shabir Ahmad, Sehrish Malik, Israr Ullah, Muhammad Fayaz, Dong-Hwan Park, Kwangsoo Kim, DoHyeun Kim
July 31, 2018 (v1)
Keywords: embedded devices, Industry 4.0, input tasks admission control, internet of things, IoT task scheduling, real-time systems
Embedded devices are gaining popularity day by day due to the expanded use of Internet of Things applications. However, these embedded devices have limited capabilities concerning power and memory. Thus, the applications need to be tailored in such a way to perform the specified tasks within the constrained resources with the same accuracy. In Real-Time task scheduling, one of the challenging factors is the intelligent modelling of input tasks in such a way that it produces not only logically correct output within the deadline but also consumes minimum CPU power. Algorithms like Rate Monotonic and Earliest Deadline First compute hyper-period of input tasks for periodic repetition of the same set of tasks on CPU. However, at times when the tasks are not adequately modelled, they lead to an enormously high value of hyper-period which result in more CPU cycles and power consumption. Many state-of-the-art solutions are presented in this regard, but the main problem is that they limit tasks... [more]
Effect of Cooperation on Manufacturing IT Project Development and Test Bed for Successful Industry 4.0 Project: Safety Management for Security
Sangil Park, Jun-Ho Huh
July 31, 2018 (v1)
Keywords: Bluetooth beacons, coding process, computer architecture, industrial processes, Industry 4.0, job safety, safety management, security, test bed, worker’s positional management
A new direction of the 4th industrial revolution in manufacturing and IT industries is presented in this study, wherein the manufacturing sector will be able to survive in this period by achieving rapid and flexible change through effective convergence between both industries. Under such an environment, manufacturing IT requires speedy development and a new distribution form, as well as a new method of IT project development which is adequate for that form. Thus, this study compares and analyzes the waterfall method which is being used in general manufacturing System Integration (SI) projects and the proposed DevOps method, which requires faster distribution and improvement. This study confirms that the required human resources are less than the existing SI projects when system improvement is made using the DevOps method. At the same time, this method provides much-improved quality for the same price. Therefore, future manufacturing IT projects would achieve a faster and more efficient... [more]
Solving Materials’ Small Data Problem with Dynamic Experimental Databases
Michael McBride, Nils Persson, Elsa Reichmanis, Martha A. Grover
July 31, 2018 (v1)
Keywords: classification, database, informatics, materials, Polymers, processing
Materials processing is challenging because the final structure and properties often depend on the process conditions as well as the composition. Past research reported in the archival literature provides a valuable source of information for designing a process to optimize material properties. Typically, the issue is not having too much data (i.e., big data), but rather having a limited amount of data that is sparse, relative to a large number of design variables. The full utilization of this information via a structured database can be challenging, because of inconsistent and incorrect reporting of information. Here, we present a classification approach specifically tailored to the task of identifying a promising design region from a literature database. This design region includes all high performing points, as well as some points having poor performance, for the purpose of focusing future experiments. The classification method is demonstrated on two case studies in polymeric materia... [more]
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